| 基于噪声模型的锂离子电池SOC预测 |
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| 引用本文： | 李骏,魏炜阳,刘霏霏,曾建邦.基于噪声模型的锂离子电池SOC预测[J].电池,2020(3):249-253. |
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| 作者姓名： | 李骏 魏炜阳 刘霏霏 曾建邦 |
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| 作者单位： | 华东交通大学机电与车辆工程学院 |
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| 基金项目： | 国家自然科学基金(51806066);江西省青年科学基金项目(20181BAB216023);江西省科协创新驱动助力服务项目。 |
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| 摘 要： | 为提高电池荷电状态(SOC)的估算精度和缩短预测时间,提出一种基于噪声模型的耦合估算策略,预估动力锂离子电池的SOC。在新标欧洲循环测试(NEDC)工况下,通过充放电实验进行仿真验证。耦合估算算法具有较高的估算精度,SOC仿真预测误差不超过2%,预测时间为0. 326 2 s。
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| 关 键 词： | 锂离子电池 荷电状态(SOC) 噪声模型 耦合估算策略 |
SOC prediction for Li-ion battery based on noise model |
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| LI Jun,WEI Wei-yang,LIU Fei-fei,ZENG Jian-bang.SOC prediction for Li-ion battery based on noise model[J].Battery Bimonthly,2020(3):249-253. |
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| Authors: | LI Jun WEI Wei-yang LIU Fei-fei ZENG Jian-bang |
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| Affiliation: | (School of Electrical,Mechanical and Vehicle Engineering,East China Jiaotong University,Nanchang,Jiangxi 330013,China) |
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| Abstract: | To improve the estimation accuracy of battery state of charge(SOC)and shorten the prediction time,a coupling estimation strategy based on noise model was proposed to estimate the SOC of power Li-ion battery.Under new European driving cycle(NEDC)condition,the simulation was verified by charge-discharge test.The coupling estimation algorithm had higher estimation accuracy,the SOC simulation prediction error was less than 2%,the prediction time was 0.3262 s. |
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| Keywords: | Li-ion battery state of charge(SOC) noise model coupling estimation strategy |
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